Yoloe focuses on detecting and segmenting objects in images without manual annotation or coding. It is catalogued under Computer vision, OCR & document AI on PulseGate.

Yoloe is a consumer product built for researchers.

What platforms does Yoloe run on?

Yoloe runs on the web. It can also be self-hosted.

Is Yoloe still maintained?

Unverified. Yoloe has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.

What are alternatives to Yoloe?

Similar projects tracked by PulseGate include YOLO-World + EfficientSAM, Yolov10, and YOLOv12 Demo.

Yoloe is developed by jameslahm.

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Yoloe

Name: Yoloe
Author: jameslahm

huggingface.coComputer vision, OCR & document AI

Yoloe is a web application that enables users to detect and segment objects in images by providing text descriptions, drawing bounding boxes or masks, or using a prompt-free mode. It is designed for researchers and practitioners who need quick, interactive image analysis without coding. Users can upload images and download the results.

FreeWebSelf-hostedCloud-managed

Visit huggingface.co

Overview

8 features

Yoloe is a Computer vision, OCR & document AI project. It focuses on detecting and segmenting objects in images without manual annotation or coding. Yoloe is a consumer product aimed at researchers. Yoloe is free to use. It ships for the web, and it can be self-hosted.

It is developed by jameslahm, and it first shipped in 2024. Key capabilities include object detection, image segmentation, and text prompt input.

Summary written by a language model from the project’s public pages.

Object detection
Image segmentation
Text prompt input
Bounding box drawing
Mask drawing
Prompt-free mode
Image upload
Download results

Built with & integrations

Hosting

AWS

AI providers

local_oss

Runs on

BrowserSelf-hostedCloud-managed

Detected from

AWS: x-amz-cf-id header · x-amz-cf-pop header · via header
local_oss: huggingface in the HTML

Trust & compliance

Verified signals

HTTPSFree tier

Indexing history

What PulseGate has recorded for this listing

Indexed10 Jul · 22:56 UTC
jameslahm/yoloe verified via Hugging Face Enumerator
Source: Hugging Face Enumerator · Open

Frequently asked questions about Yoloe

What is Yoloe?: Yoloe focuses on detecting and segmenting objects in images without manual annotation or coding. It is catalogued under Computer vision, OCR & document AI on PulseGate.
Who is Yoloe for?: Yoloe is a consumer product built for researchers.
Is Yoloe free?: Yes — Yoloe is free to use.
What platforms does Yoloe run on?: Yoloe runs on the web. It can also be self-hosted.
Is Yoloe still maintained?: Unverified. Yoloe has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What are alternatives to Yoloe?: Similar projects tracked by PulseGate include YOLO-World + EfficientSAM, Yolov10, and YOLOv12 Demo.YOLO-World + EfficientSAM Yolov10 YOLOv12 Demo
Who makes Yoloe?: Yoloe is developed by jameslahm.
When did Yoloe launch?: Yoloe first shipped in 2024.

At a glance

Platforms: Web
Languages: English
Built for: researchers
Model: B2C
Solves: Detecting and segmenting objects in images without manual annotation or coding.

Registered as

Hugging Face Spaces: jameslahm/yoloe

Developer

jameslahm

Index record

Indexed: 10 Jul 2026
Lifecycle: Alive
Last seen: 10 Jul 2026

Identity audit (12)

Slug: jameslahm-yoloe-huggingface-co
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 10 Jul 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Derived from the project's own page and URL.
Category from: Recorded source: taxonomy-pass-a.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Canonical URL: https://huggingface.co/spaces/jameslahm/yoloe

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